Porter Metrics review

What Porter Metrics is for

Porter Metrics does one job: pull data out of ad platforms and analytics tools and push it into Looker Studio, Google Sheets, BigQuery or Power BI on a schedule. It has no dashboard or BI layer of its own; the actual reporting happens downstream, in whichever of those four tools you already use. That narrow scope, combined with pricing by connection count instead of feature tier, fits a freelancer or small agency that already builds reports in Looker Studio and just wants the data flowing there automatically instead of exported and pasted by hand every Monday. A small team builds and runs it, and that shows up in both the product’s focus and, reviewers say, in how quickly a support message gets answered.

Where it shines

Price and simplicity for a small account count. The free plan now covers unlimited connected accounts with no time limit and no feature gate, a real starting point rather than a sample-data demo that only shows sample numbers until you pay (the trade-off is a 30-day lookback and a Porter badge on AI-generated dashboards). Past that, Porter dropped its named tiers for a continuous per-account rate: one account runs $15 a month ($12.50 billed annually), and the per-account price keeps dropping as you connect more, down to roughly $6.67 each at 5 accounts, $4.15 each at 20, and $3.75 each at 40. Every paid level ships all four destinations and unlimited users, so a two-person shop never hits an upsell wall for something it already has access to, and paying annually shaves off roughly two months’ cost. The connector list covers the platforms most small teams run day to day, Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, GA4, Shopify, Mailchimp and Klaviyo among them, out of roughly 50 sources total. G2 reviewers put it at 4.6 out of 5 across 189-plus reviews, and the recurring theme is fast setup and direct support from the founding team over Slack rather than a ticket queue. A newer MCP connector also lets you query pulled data through Claude or ChatGPT, on top of the four standard destinations.

Where it frays

Coverage and depth are where the low price shows. Around 50 connectors is well short of the 300-plus that Supermetrics or Coupler.io list, so a platform outside the mainstream ad and analytics stack, a niche CRM or a regional ad network, may not be supported at all. What Porter does pull arrives as raw API fields rather than pre-calculated metrics, so a blended number like cross-platform ROAS still gets built afterward in Looker Studio or a spreadsheet. Reviewers also describe connectors that lose authentication or fail without a clear error message, sometimes in the middle of assembling a client report, an inconvenient time to start troubleshooting. Historical lookback resets to 30 days on the free plan, and individual source platforms cap their own connector history regardless of tier, so long trend analysis needs manual archiving on your end. Capterra’s rating sits at 4.5, but on only 6 reviews, too small a sample to lean on the way you can with G2’s larger pool. None of this is unusual for a lean connector at this price. Porter moves the data; turning it into a finished report is still your job.

Who should buy it

Buy Porter Metrics if you’re running a handful of accounts into Looker Studio and don’t want to pay for 300 connectors and a warehouse tier you’ll never touch. Skip it if the client roster runs past 20 or 30 accounts, if a platform outside the mainstream ad and analytics stack needs a connector, or if calculated metrics matter more than a raw data pull, any of which point back to Supermetrics or a flat-rate option like Windsor.ai. The full lineup, with entry prices and what each tool does, is in our marketing reporting connector roundup. For anyone leaving Supermetrics specifically, our Supermetrics alternatives guide stacks Porter Metrics against Windsor.ai, Coupler.io, Databox and Funnel.io on price.

For a line-by-line look at Porter against the other low-cost connector, see our Coupler.io vs Porter Metrics comparison.